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The Equation That Changed How Physicists Think About Reality | Juan Maldacena Timestamps: 00:00 The claim Einstein wrote in 1935 and missed 01:15 The most-cited physicist alive walks into UC San Diego 03:25 What would shock Einstein most about modern physics 07:45 The holographic principle — what it actually...

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Prof. Brian Keating

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Could AI deserve rights before it even feels like anything to be an AI? Oxford moral philosopher Andreas Mogensen thinks... maybe. In her first interview for the 80,000 Hours Podcast my colleague Zershaaneh Qureshi pushes Andreas on that, as well as new arguments for why human extinction could be a good thing: The puzzle of moral patienthood (00:03:20) Is subjective experience necessary? (00:05:52) What is it to desire? (00:10:42) Desiring without experiencing (00:17:56) What would make AIs moral patients? (00:28:17) Another route entirely: deserving autonomy (00:45:12) Maybe there's no objective truth about any of this (01:12:06) Practical implications (01:29:21) Why not just let superintelligence figure this out for us? (01:38:07) How could human extinction be a good thing? (01:47:30) Lexical threshold negative utilitarianism (02:12:30) So... should we still try to prevent extinction? (02:25:22) What are the most important questions for people to address here? (02:32:16) Is God GDPR compliant? (02:35:32) Links below, enjoy!

Rob Wiblin

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"I haven't sold a single sat." Michael Saylor (Michael Saylor) is Executive Chairman of Strategy, the largest corporate holder of Bitcoin on earth. While crypto twitter blamed him for the correction over a 32-coin sale, he sat down with me in Prague and explained why Bitcoin is really lagging and why it has almost nothing to do with Bitcoin. "We bought 175,000 Bitcoin this year, which is like 20% of all the Bitcoin ever bought. We sold 32. 32 works out to be two basis points." We cover: - Why Bitcoin is lagging while the S&P prints all-time highs, the "massive AI black hole" pulling capital out of crypto - Why he thinks the money rotates back by Q4 - The 32-BTC sale, the scapegoat dynamic, and why he hasn't sold a sat of his own - Why a 50% drawdown is normal, the 2022 one was 75% - The Apple and Amazon adoption curve, and the "Warren Buffett moment" he says is still coming - What actually happens to Strategy if Bitcoin stalls for 40 years - Why he believes being irrelevant is the only thing worse than being hated Thanks to Michael for coming on New Era Finance Podcast. Highlights: 00:00 - Intro 00:25 - Bitcoin Is Now Digital Capital 03:30 - Digital Credit, Invented In 12 Months 07:40 - Why Bitcoin Is Lagging The Market 12:15 - The Apple & Amazon Comparison 18:30 - Did Saylor Sell His Bitcoin? 21:00 - We Bought 175,000. We Sold 32. 25:00 - Defending The Credit & The Equity 29:30 - What If Bitcoin Stalls For 40 Years? 33:00 - The Warren Buffett Moment Is Coming 37:00 - Being Hated vs Being Irrelevant

Michaël van de Poppe

504,584 Aufrufe • vor 1 Monat

"You die before you die." Grant Cardone (Grant Cardone) lost his dad at 10. By 25 he was broke with a decade-long drug problem, overdosed three times, lost two friends along the way. No money. No connections. No reputation. Today: Cardone Capital, real estate empire, decades of studying how wealth actually moves. "There's a 75% chance every bill in your wallet was printed in the last ten years. Cash is trash. It always has been. Your job is to hustle the fiat and convert it into something real before they print the next trillion." We cover: — Why two-thirds of America is stuck in a middle-class trap that feels like success but isn't — The "die before you die" frame and why most people quit on themselves around age 40 — Why Goldman Sachs and Morgan Stanley don't actually have the answers (from someone who watched them up close) — How to "hustle the fiat", convert printed money into real assets before the next printing cycle — Why Grant is bullish on Bitcoin but won't touch gold (and the math behind both calls) — The "make a claim" decision that separates wealth from settling — Why working hard is the worst advice you can give anyone in the AI era — What Grant would tell his 25-year-old self standing at rock bottom — The one decision that changed everything Thanks to Grant for coming on New Era Finance Podcast. Highlights: 00:00 — Intro 00:50 — The Claim Decision 01:42 — Rock Bottom at 25 02:30 — You Die Before You Die 03:48 — The Middle Class Trap 06:00 — Why Money Matters 07:01 — 75% of Bills Printed Recently 07:25 — Hustle the Fiat 14:30 — Bitcoin vs Gold 18:00 — Make a Claim 22:00 — What I'd Tell My 25-Year-Old Self
26:49

"You die before you die." Grant Cardone (Grant Cardone) lost his dad at 10. By 25 he was broke with a decade-long drug problem, overdosed three times, lost two friends along the way. No money. No connections. No reputation. Today: Cardone Capital, real estate empire, decades of studying how wealth actually moves. "There's a 75% chance every bill in your wallet was printed in the last ten years. Cash is trash. It always has been. Your job is to hustle the fiat and convert it into something real before they print the next trillion." We cover: — Why two-thirds of America is stuck in a middle-class trap that feels like success but isn't — The "die before you die" frame and why most people quit on themselves around age 40 — Why Goldman Sachs and Morgan Stanley don't actually have the answers (from someone who watched them up close) — How to "hustle the fiat", convert printed money into real assets before the next printing cycle — Why Grant is bullish on Bitcoin but won't touch gold (and the math behind both calls) — The "make a claim" decision that separates wealth from settling — Why working hard is the worst advice you can give anyone in the AI era — What Grant would tell his 25-year-old self standing at rock bottom — The one decision that changed everything Thanks to Grant for coming on New Era Finance Podcast. Highlights: 00:00 — Intro 00:50 — The Claim Decision 01:42 — Rock Bottom at 25 02:30 — You Die Before You Die 03:48 — The Middle Class Trap 06:00 — Why Money Matters 07:01 — 75% of Bills Printed Recently 07:25 — Hustle the Fiat 14:30 — Bitcoin vs Gold 18:00 — Make a Claim 22:00 — What I'd Tell My 25-Year-Old Self

Michaël van de Poppe

172,907 Aufrufe • vor 2 Monaten

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?
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Epoch AI

178,703 Aufrufe • vor 6 Monaten

At 25, Peter St Onge, Ph.D. says he became a millionaire after betting everything on Yahoo during the dot-com boom. He retired to a Thai island. One day, he took a speedboat into town, logged into his account, and found almost all the money gone. Years later, he became one of the most followed economists online. In this episode, Peter argues that AI will take millions of entry-level office jobs. Over time, though, people who work with their hands could become much richer. He calls AI the opposite of the Industrial Revolution. I hope you enjoy our conversation: 00:00 Trailer 01:17 Peter gets rich, retires, and loses it all 07:07 Why trust makes countries richer 11:02 SkinIsSkin 12:25 Why experts got Trump wrong 13:57 How institutions protect the in-party 18:11 What America learned from the 1920s cuts 23:53 Why Peter defends some Trump tariffs 29:24 Why small business taxes matter 30:57 Why Peter says the Fed went rogue 37:25 Peter’s case for Bitcoin 45:07 What Milei changed in Argentina 47:23 Why Europe could change fast 52:18 Why AI could make workers richer 1:00:11 Rapid-fire questions 1:02:31 Where to follow Peter
1:03:00

At 25, Peter St Onge, Ph.D. says he became a millionaire after betting everything on Yahoo during the dot-com boom. He retired to a Thai island. One day, he took a speedboat into town, logged into his account, and found almost all the money gone. Years later, he became one of the most followed economists online. In this episode, Peter argues that AI will take millions of entry-level office jobs. Over time, though, people who work with their hands could become much richer. He calls AI the opposite of the Industrial Revolution. I hope you enjoy our conversation: 00:00 Trailer 01:17 Peter gets rich, retires, and loses it all 07:07 Why trust makes countries richer 11:02 SkinIsSkin 12:25 Why experts got Trump wrong 13:57 How institutions protect the in-party 18:11 What America learned from the 1920s cuts 23:53 Why Peter defends some Trump tariffs 29:24 Why small business taxes matter 30:57 Why Peter says the Fed went rogue 37:25 Peter’s case for Bitcoin 45:07 What Milei changed in Argentina 47:23 Why Europe could change fast 52:18 Why AI could make workers richer 1:00:11 Rapid-fire questions 1:02:31 Where to follow Peter

Magatte Wade

48,316 Aufrufe • vor 1 Monat

You don’t know people as well as you think. Polina Pompliano studies the world’s highest performers—and what she’s found challenges how we think about success, creativity, and human behavior. From mental models to media bias to the hidden motivations driving people, this is a deep dive into how great thinkers actually see the world. TIMESTAMPS 00:00 – Intro 02:12 – How Polina Breaks Down High Performers 06:02 – Rationality vs Emotion 10:03 – Creativity and Logic 15:30 – The Power of Storytelling 19:00 – Building The Profile 22:29 – The Mask vs The Real Person 30:48 – Growing Up in Bulgaria 36:03 – What Freedom Actually Means 40:17 – Why We’re All in Ideological “Cults” 01:00:15 – What She Learned From Profiling People
1:07:07

You don’t know people as well as you think. Polina Pompliano studies the world’s highest performers—and what she’s found challenges how we think about success, creativity, and human behavior. From mental models to media bias to the hidden motivations driving people, this is a deep dive into how great thinkers actually see the world. TIMESTAMPS 00:00 – Intro 02:12 – How Polina Breaks Down High Performers 06:02 – Rationality vs Emotion 10:03 – Creativity and Logic 15:30 – The Power of Storytelling 19:00 – Building The Profile 22:29 – The Mask vs The Real Person 30:48 – Growing Up in Bulgaria 36:03 – What Freedom Actually Means 40:17 – Why We’re All in Ideological “Cults” 01:00:15 – What She Learned From Profiling People

Infinite Loops 🎙

50,994 Aufrufe • vor 4 Monaten

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science
49:06

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

66,936 Aufrufe • vor 2 Monaten

Start 2026 with a deep dive into the world of book publishing. Jimmy Soni ( Jimmy Soni ), CEO and EIC of Infinite Books, is back on Infinite Loops to discuss what’s broken in traditional publishing, how we’re fixing it, and why the world needs more “problem authors.” We also explore why most industries optimize for prestige instead of outcomes, how digital distribution has reshaped attention, and why authors and creators have more leverage than they realize. Enjoy and keep reading! TIMESTAMPS: 0:00 Intro 5:00 What Traditional Publishing Gets Wrong 9:30 Why Book Covers (and A/B Testing) Actually Matter 14:30 Prestige Industries and Resistance to Change 20:30 Authors, Power, and the Shift in Incentives 28:00 Writers’ Rooms, AI, and Rethinking the Creative Process 36:30 Long-Term Thinking in Publishing and Marketing 55:15 The Story Behind The Dao of Kobe 1:15:30 What It Means to Be a “Problem Author”
1:37:13

Start 2026 with a deep dive into the world of book publishing. Jimmy Soni ( Jimmy Soni ), CEO and EIC of Infinite Books, is back on Infinite Loops to discuss what’s broken in traditional publishing, how we’re fixing it, and why the world needs more “problem authors.” We also explore why most industries optimize for prestige instead of outcomes, how digital distribution has reshaped attention, and why authors and creators have more leverage than they realize. Enjoy and keep reading! TIMESTAMPS: 0:00 Intro 5:00 What Traditional Publishing Gets Wrong 9:30 Why Book Covers (and A/B Testing) Actually Matter 14:30 Prestige Industries and Resistance to Change 20:30 Authors, Power, and the Shift in Incentives 28:00 Writers’ Rooms, AI, and Rethinking the Creative Process 36:30 Long-Term Thinking in Publishing and Marketing 55:15 The Story Behind The Dao of Kobe 1:15:30 What It Means to Be a “Problem Author”

Infinite Loops 🎙

32,864 Aufrufe • vor 7 Monaten

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

205,101 Aufrufe • vor 16 Tagen

I sat down with Nik Bhatia, ex-Treasury bond trader, USC professor, and author of Layered Money and The Bitcoin Age. While Bloomberg's Mike McGlone is calling Bitcoin to $10,000, Nik Bhatia says $1 million is coming sooner than anyone thinks. "The US built the global dollar system but lost control over how it works. $12-15 trillion in offshore Eurodollar claims operate outside any American regulatory authority. Stablecoins are the tool that brings it all back." He just published a paper with the Bitcoin Policy Institute and is presenting it in Washington DC this week. Full episode on New Era Finance Podcast. TIMESTAMPS: 00:00 — Why $1 Million Bitcoin is Inevitable 05:00 — The $15 Trillion Eurodollar Problem 12:00 — Stablecoins as Statecraft: His DC Paper 18:00 — The GENIUS Act Changes Everything 25:00 — Why the Fed Already Lost Control 32:00 — Bitcoin is Replacing the Treasury Bond 40:00 — Layered Money: How the System Actually Works 48:00 — Why This is the Time to Buy Bitcoin 55:00 — The Macro Reset Nobody Sees Coming
1:11:41

I sat down with Nik Bhatia, ex-Treasury bond trader, USC professor, and author of Layered Money and The Bitcoin Age. While Bloomberg's Mike McGlone is calling Bitcoin to $10,000, Nik Bhatia says $1 million is coming sooner than anyone thinks. "The US built the global dollar system but lost control over how it works. $12-15 trillion in offshore Eurodollar claims operate outside any American regulatory authority. Stablecoins are the tool that brings it all back." He just published a paper with the Bitcoin Policy Institute and is presenting it in Washington DC this week. Full episode on New Era Finance Podcast. TIMESTAMPS: 00:00 — Why $1 Million Bitcoin is Inevitable 05:00 — The $15 Trillion Eurodollar Problem 12:00 — Stablecoins as Statecraft: His DC Paper 18:00 — The GENIUS Act Changes Everything 25:00 — Why the Fed Already Lost Control 32:00 — Bitcoin is Replacing the Treasury Bond 40:00 — Layered Money: How the System Actually Works 48:00 — Why This is the Time to Buy Bitcoin 55:00 — The Macro Reset Nobody Sees Coming

Michaël van de Poppe

45,404 Aufrufe • vor 3 Monaten